The CLAS12 Forward Tagger

Acker, Andrew; Attié, D.; Aune, S.; Ball, J.; Baron, P.; Bashkanov, M.; Battaglieri, M.; Behary, Rob; Benmokhtar, F.; Bersani, A.; Bertrand, Quentin; Besin, D.; Bey, T.; Black, Polly; Bonneau, P.; Bossù, F.; Boudouin, R.; Boyer, M.; Rojas, P Campero; Casale, A.; Celentano, A.; Cereseto, R.; Ciarma, Andrea; Cipro, F.; Charles, G.; Christiaens, Guillaume; Contrepois, P.; Cook, Matthew; D’Angelo, A.; Vita, R. De; Defurne, M.; Delagnes, É.; Fanchini, E.; Fegan, S.; Fleming, J. A.; Filippi, A.; Garçon, M.; Georges, Frédéric; Giovanetti, K. L.; Glazier, D. I.; Granelli, R.; Grouas, N.; Hicks, K.; Hoebel, A.; Hughes, S. M.; Lahonde, C.; Lanza, L.; Leffel, M.; Lerch, Thierry; Lemon, T.; Livingston, K.; Manco, A.; Mandjavidze, I.; Mann, H.; McKinnon, B.; Meunier, O.; Miller, R.; Miní, G.; Mouden, Y.; Musico, P.; Osipenko, M.; Ottonello, G.; Parodi, F.; Pasyuk, E.; Pollovio, P.; Pratolongo, F.; Procureur, S.; Puppo, R.; Rossi, C.; Riallot, M.; Ripani, M.; Rizzo, A.; Sabatié, F.; Salgado, C.; Smith, G. D.; Sokhan, D.; Stanković, Igor; Taiuti, M.; Trovato, Andrew; Vandenbroucke, M.; Vigo, Vera; Virique, E.; Watts, D. P.; Wiggins, C.; Zachariou, N.; Zana, L.

doi:10.1016/j.nima.2020.163475

Cited by 14 publications

(7 citation statements)

References 13 publications

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“…1. In between the central and forward regions, the CLAS12 Forward Tagger [13] extends the kinematic coverage for the detection of electrons and photons at polar angles from 2 • to 5 • . The total number of readout channels of CLAS12 is larger than 100k.…”

Section: Overviewmentioning

confidence: 99%

The CLAS12 Geant4 simulation

Ungaro

Angelini

Battaglieri

et al. 2020

Nuclear Instruments and Methods in Physics Research Section A:

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The Geant4 Monte-Carlo (GEMC) package is used to simulate the passage of particles through the various CLAS12 detectors. The geometry is implemented through a database of Geant4 volumes created either through the GEMC native API, by the CLAS12 geometry service, or imported from the CAD engineering model. The truth information is digitized with a plugin mechanism by routines specific to each detector and includes the use of the CLAS12 calibration database constants to produce both ADC and TDC response functions. Theoretical models that produce the generated events interface with GEMC through the LUND data format. The merging of simulated data with real random trigger data provides a mechanism to include both beam and electronic background into the simulation of generated events to accurately model beam data from the CLAS12 detector. The performance of simulation is demonstrated by comparison with the experimental data.

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Section: Overviewmentioning

confidence: 99%

The CLAS12 Geant4 simulation

Ungaro

Angelini

Battaglieri

et al. 2020

Nuclear Instruments and Methods in Physics Research Section A:

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“…A detailed description of the detector, including on-beam performance, is reported in Ref. [9]. The WaveBoard is a 12-channel digitizer designed for High Energy Physics experiments.…”

Section: Hall-bmentioning

confidence: 99%

Streaming readout for next generation electron scattering experiment

Ameli¹,

Battaglieri²,

Berdnikov³

et al. 2022

Preprint

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Current and future experiments at the high intensity frontier are expected to produce an enormous amount of data that needs to be collected and stored for offline analysis. Thanks to the continuous progress in computing and networking technology, it is now possible to replace the standard 'triggered' data acquisition systems with a new, simplified and outperforming scheme. 'Streaming readout' (SRO) DAQ aims to replace the hardware-based trigger with a much more powerful and flexible software-based one, that considers the whole detector information for efficient real-time data tagging and selection. Considering the crucial role of DAQ in an experiment, validation with on-field tests is required to demonstrate SRO performance. In this paper we report results of the on-beam validation of the Jefferson Lab SRO framework. We exposed different detectors (PbWO-based electromagnetic calorimeters and a plastic scintillator hodoscope) to the Hall-D electronpositron secondary beam and to the Hall-B production electron beam, with increasingly complex experimental conditions. By comparing the data collected with the SRO system against the traditional DAQ, we demonstrate that the SRO performs as expected. Furthermore, we provide evidence of its superiority in implementing sophisticated AI-supported algorithms for real-time data analysis and reconstruction.

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“…The very forward region, between 2°and 5°, is equipped with a calorimeter based system to detect electrons and photons. Micromegas are used close to the target to improve on the baseline tracking systems [40] and in the very forward region to provide the pointing direction of the scattered electron [41].…”

Section: Clas12mentioning

confidence: 99%

“…Since the magnetic field is parallel to the drift field and the primary electrons are not affected by the Lorentz angle effect, the FMT uses a gas mixture of argon (80%)/isobutane (10%)/CF 4 (10%) that provides a better timing resolution. The Forward Tagger Tracker [41] (Figure 8c) consists of four disks made of the same FMT technology.…”

Section: Clas12mentioning

confidence: 99%